Northern Watershed Ecosystem Response to Climate Change (North-Watch) - Towards a comparative ecohydrology of northern catchments.
Bibliographic record
Abstract
In few places will the changes and challenges associated with climatic change be greater than in the circumpolar mid-high latitudes of the northern hemisphere. Slight temperature differences determine whether precipitation falls as rain or snow, and the degree to which winter snow packs accumulate and the rate at which they subsequently melt. This has implications for stream flow regimes, water quality and in-stream hydroecology. The Northern Watershed Ecosystem Response to Climate Change (North-Watch) programme is an international interdisciplinary inter-site comparison project spanning a transect of hydro-climatic zones in Scotland, the USA, Canada and Scandinavia. The overall aim is to better understand the integrated consequences of climate change on the physical, chemical and biological characteristics of water resources across northern regions. Here, we present initial findings from these analyses. The way in which hydroclimatic drivers interact with catchment characteristics are examined to show how the synchroneity, resistance and resilience of input-output responses varies spatially and temporally across sites. The dominant influence is the nature of the snowmelt period and how strongly this influences the hydrological regime. Linked to this is the variable nature of the threshold response of input ‐ streamflow dynamics and how this changes for rainfall and snowmelt events. The ways in which these hydrological controls regulate Carbon fluxes from different catchments are also explored, and the implications for in-stream ecosystem response assessed. As the hydroclimatic drivers influencing the catchments are changing in a warming climate, vegetation and soil are also likely to change. This in turn will affect patterns of partitioning, storage and release of water with associated changes in streamflow dynamics. Budyko Curves are used to examine the current differences between the North-Watch catchments in terms of water and energy limitations, and likely future trajectories given climatic change scenarios. This highlights the sensitivity of certain catchments and underlines the need for integrating ecological concepts into hydrological classification schemes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".